| pasir

Sparisoma Viridi is granular physicist who likes doing programming.

binary and plot2 pasir

Introduction to Pasir in how to generate artificial datasets with two features for binary classification.

Materials, in the form of slide, given in FI2151 Modeling, Data Generator and Analysis course in 2024-1 semester.

Application of statistical mechanics on non-conformal agent exploration as a topic for doctoral research.

Feed forward and learning algorithms as further intro to single-layer perceptron.

Problem in showing mean squared displacement of a random walk in 1- and 2-d.

There are many excuses not to write, and there are also many reasons to write.

SK5010 Visualization in Science Research-Based Learning weekly report 1 in 2024-1 semester.

Short intro about model with category of physical and symbolic models and sub-category of empirical and mathematical models.

Progress of Research-Based Learning on SK5010 Visualization in Science course in 2024-1 semester.

Brief introduction to perceptron with linear separable artificial datasets.

A very short intro to Machine Learning mostly with illustrations.

A progress review on Research-Based Lerning project of SK5010 Science Visualization course in 2024-1 semester.

Computational study of carbon fiber-refinforced polyamide 6 (CF/PA6) composite materials using molecular dynamics method with LAMPPS.

A short intro about random walk with some examples in Python.

Create pasir as continuation of butiran, which has undetermined pause.